code: def _get_input_buffer(self, incremental_state: Dict[str, Tensor]):
      return self.get_incremental_state(
          incremental_state, "input_buffer"
      )
  
file_path: pytext/pytext/models/seq_models/light_conv.py
imports: from typing import Dict, Optional
  import torch.jit
  import torch.nn
  from pytext.config import ConfigBase
  from torch import Tensor
  from .base import PyTextIncrementalDecoderComponent
  from .utils import unfold1d
label_desc: Use image node_id 7 for calling the LightweightConv obj's underlying member method code with example usage: obj._get_input_buffer(incremental_state) and returns: self